Literature DB >> 15576553

Benchmarking B cell epitope prediction: underperformance of existing methods.

Martin J Blythe1, Darren R Flower.   

Abstract

Sequence profiling is used routinely to predict the location of B-cell epitopes. In the postgenomic era, the need for reliable epitope prediction is clear. We assessed 484 amino acid propensity scales in combination with ranges of plotting parameters to examine exhaustively the correlation of peaks and epitope location within 50 proteins mapped for polyclonal responses. After examining more than 10(6) combinations, we found that even the best set of scales and parameters performed only marginally better than random. Our results confirm the null hypothesis: Single-scale amino acid propensity profiles cannot be used to predict epitope location reliably. The implication for studies using such methods is obvious.

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Year:  2004        PMID: 15576553      PMCID: PMC2253337          DOI: 10.1110/ps.041059505

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  10 in total

1.  AAindex: amino acid index database.

Authors:  S Kawashima; M Kanehisa
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

Review 2.  Assessing the accuracy of prediction algorithms for classification: an overview.

Authors:  P Baldi; S Brunak; Y Chauvin; C A Andersen; H Nielsen
Journal:  Bioinformatics       Date:  2000-05       Impact factor: 6.937

3.  JenPep: a novel computational information resource for immunobiology and vaccinology.

Authors:  Helen McSparron; Martin J Blythe; Christianna Zygouri; Irini A Doytchinova; Darren R Flower
Journal:  J Chem Inf Comput Sci       Date:  2003 Jul-Aug

4.  A dominant linear B-cell epitope of ricin A-chain is the target of a neutralizing antibody response in Hodgkin's lymphoma patients treated with an anti-CD25 immunotoxin.

Authors:  D Castelletti; G Fracasso; S Righetti; G Tridente; R Schnell; A Engert; M Colombatti
Journal:  Clin Exp Immunol       Date:  2004-05       Impact factor: 4.330

5.  Continuous and discontinuous protein antigenic determinants.

Authors:  D J Barlow; M S Edwards; J M Thornton
Journal:  Nature       Date:  1986 Aug 21-27       Impact factor: 49.962

Review 6.  Protein surface analysis. Methods for identifying antigenic determinants and other interaction sites.

Authors:  T P Hopp
Journal:  J Immunol Methods       Date:  1986-04-03       Impact factor: 2.303

Review 7.  An assessment of prediction methods for locating continuous epitopes in proteins.

Authors:  M H Van Regenmortel; G Daney de Marcillac
Journal:  Immunol Lett       Date:  1988-02       Impact factor: 3.685

8.  First peptide vaccine providing protection against viral infection in the target animal: studies of canine parvovirus in dogs.

Authors:  J P Langeveld; J I Casal; A D Osterhaus; E Cortés; R de Swart; C Vela; K Dalsgaard; W C Puijk; W M Schaaper; R H Meloen
Journal:  J Virol       Date:  1994-07       Impact factor: 5.103

9.  [Anti-cyclic citrullinated peptide antibodies as a diagnostic test for rheumatoid arthritis].

Authors:  Hedi Orbach; Yehuda Shoenfeld
Journal:  Harefuah       Date:  2003-03

10.  Identification of two antigenic epitopes on SARS-CoV spike protein.

Authors:  Ronghong Hua; Yanjun Zhou; Yunfeng Wang; Yuzhuo Hua; Guangzhi Tong
Journal:  Biochem Biophys Res Commun       Date:  2004-07-02       Impact factor: 3.575

  10 in total
  115 in total

1.  High-throughput prediction of protein antigenicity using protein microarray data.

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Journal:  Bioinformatics       Date:  2010-10-07       Impact factor: 6.937

2.  Structure and functional features of olive pollen pectin methylesterase using homology modeling and molecular docking methods.

Authors:  Jose C Jimenez-Lopez; Simeon O Kotchoni; María I Rodríguez-García; Juan D Alché
Journal:  J Mol Model       Date:  2012-06-22       Impact factor: 1.810

3.  Prediction of residues in discontinuous B-cell epitopes using protein 3D structures.

Authors:  Pernille Haste Andersen; Morten Nielsen; Ole Lund
Journal:  Protein Sci       Date:  2006-09-25       Impact factor: 6.725

4.  The epitope space of the human proteome.

Authors:  Lisa Berglund; Jorge Andrade; Jacob Odeberg; Mathias Uhlén
Journal:  Protein Sci       Date:  2008-04       Impact factor: 6.725

5.  COBEpro: a novel system for predicting continuous B-cell epitopes.

Authors:  Michael J Sweredoski; Pierre Baldi
Journal:  Protein Eng Des Sel       Date:  2008-12-10       Impact factor: 1.650

6.  Designing immunogenic peptides.

Authors:  Darren R Flower
Journal:  Nat Chem Biol       Date:  2013-12       Impact factor: 15.040

7.  Proteomic peptide scan of porphyromonas gingivalis fima type ii for searching potential b-cell epitopes.

Authors:  A Lucchese; A Guida; G Capone; G Donnarumma; L Laino; M Petruzzi; R Serpico; F Silvestre; M Gargari
Journal:  Oral Implantol (Rome)       Date:  2016-11-13

8.  Predicting flexible length linear B-cell epitopes.

Authors:  Yasser El-Manzalawy; Drena Dobbs; Vasant Honavar
Journal:  Comput Syst Bioinformatics Conf       Date:  2008

9.  Prediction of antibody response using recombinant human protein fragments as antigen.

Authors:  Johan Rockberg; Mathias Uhlén
Journal:  Protein Sci       Date:  2009-11       Impact factor: 6.725

10.  A novel synthetic peptide microarray assay detects Chlamydia species-specific antibodies in animal and human sera.

Authors:  Konrad Sachse; Kh Shamsur Rahman; Christiane Schnee; Elke Müller; Madlen Peisker; Thomas Schumacher; Evelyn Schubert; Anke Ruettger; Bernhard Kaltenboeck; Ralf Ehricht
Journal:  Sci Rep       Date:  2018-03-16       Impact factor: 4.379

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